國立虎尾科技大學 |

Text mining with machine learning = principles and techniques /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Text mining with machine learning/ Jan Žižka, František Dařena, Arnošt Svoboda.
其他題名:	principles and techniques /
作者:	Žižka, Jan.
其他作者:	Svoboda, Arnošt,
出版者:	Boca Raton, FL :CRC Press, : c2020.,
面頁冊數:	1 online resource.
附註:	"A Science Publishers book."
標題:	Semantics - Data processing. -
電子資源:	https://www.taylorfrancis.com/books/9780429469275
ISBN:	9780429469275

Text mining with machine learning = principles and techniques /
Žižka, Jan.

Text mining with machine learningprinciples and techniques /[electronic resource] :Jan Žižka, František Dařena, Arnošt Svoboda. - Boca Raton, FL :CRC Press,c2020. - 1 online resource.

"A Science Publishers book."

Includes bibliographical references and index.

"This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts. By analysing various data sets, conclusions, which are not normally evident, emerge and can be used for various purposes and applications. The book provides explanations of principles of time-proven machine learning algorithms applied in text mining together with step-by-step demonstrations of how to reveal the semantic contents in real-world datasets using the popular R-language with its implemented machine learning algorithms. The book is not only aimed at IT specialists, but is meant for a wider audience that needs to process big sets of text documents and has basic knowledge of the subject, e.g. e-mail service providers, online shoppers, librarians, etc"--

ISBN: 9780429469275Subjects--Topical Terms:

675131
Semantics
--Data processing.

LC Class. No.: Q325.5 / .Z59 2020

Dewey Class. No.: 006.3/12

Text mining with machine learning = principles and techniques /
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245 1 0 $a Text mining with machine learning $h [electronic resource] : $b principles and techniques / $c Jan Žižka, František Dařena, Arnošt Svoboda.
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300 $a 1 online resource.
500 $a "A Science Publishers book."
504 $a Includes bibliographical references and index.
520 $a "This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts. By analysing various data sets, conclusions, which are not normally evident, emerge and can be used for various purposes and applications. The book provides explanations of principles of time-proven machine learning algorithms applied in text mining together with step-by-step demonstrations of how to reveal the semantic contents in real-world datasets using the popular R-language with its implemented machine learning algorithms. The book is not only aimed at IT specialists, but is meant for a wider audience that needs to process big sets of text documents and has basic knowledge of the subject, e.g. e-mail service providers, online shoppers, librarians, etc"-- $c Provided by publisher.
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650 0 $a Semantics $x Data processing. $3 675131
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